Bin Qian

4.3k total citations
149 papers, 3.1k citations indexed

About

Bin Qian is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Bin Qian has authored 149 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Industrial and Manufacturing Engineering, 36 papers in Artificial Intelligence and 27 papers in Control and Systems Engineering. Recurrent topics in Bin Qian's work include Scheduling and Optimization Algorithms (49 papers), Advanced Manufacturing and Logistics Optimization (33 papers) and Metaheuristic Optimization Algorithms Research (19 papers). Bin Qian is often cited by papers focused on Scheduling and Optimization Algorithms (49 papers), Advanced Manufacturing and Logistics Optimization (33 papers) and Metaheuristic Optimization Algorithms Research (19 papers). Bin Qian collaborates with scholars based in China, United States and United Kingdom. Bin Qian's co-authors include David Baker, Rong Hu, Huaiping Jin, Dexian Huang, Sheng Wang, Richard A. Goldstein, Ling Wang, Xiong Wang, Quan-Ke Pan and Philip Bradley and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Bin Qian

140 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bin Qian China 31 1.0k 946 575 392 358 149 3.1k
Natalio Krasnogor United Kingdom 39 249 0.2× 2.0k 2.1× 1.8k 3.2× 145 0.4× 164 0.5× 163 4.8k
Mai S. Mabrouk Egypt 18 162 0.2× 383 0.4× 1.7k 3.0× 410 1.0× 93 0.3× 103 3.6k
Xiangtao Li China 30 451 0.4× 530 0.6× 1.5k 2.5× 231 0.6× 55 0.2× 116 2.9k
Yanfeng Wang China 33 72 0.1× 1.0k 1.1× 712 1.2× 187 0.5× 365 1.0× 331 4.4k
Martin Pelikán United States 31 304 0.3× 763 0.8× 2.8k 4.9× 283 0.7× 218 0.6× 86 4.4k
Heming Zhang China 25 189 0.2× 271 0.3× 398 0.7× 338 0.9× 69 0.2× 171 2.1k
David A. Pelta Spain 22 208 0.2× 238 0.3× 839 1.5× 212 0.5× 83 0.2× 104 1.9k
Zexuan Zhu China 40 336 0.3× 1.2k 1.3× 2.9k 5.1× 259 0.7× 112 0.3× 165 5.7k
Jayadeva India 20 91 0.1× 218 0.2× 1.2k 2.2× 513 1.3× 131 0.4× 75 2.6k
Yuehui Chen China 33 131 0.1× 593 0.6× 1.5k 2.6× 523 1.3× 26 0.1× 250 3.8k

Countries citing papers authored by Bin Qian

Since Specialization
Citations

This map shows the geographic impact of Bin Qian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Qian more than expected).

Fields of papers citing papers by Bin Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin Qian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bin Qian. The network helps show where Bin Qian may publish in the future.

Co-authorship network of co-authors of Bin Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Qian. A scholar is included among the top collaborators of Bin Qian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Qian. Bin Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Zi-Qi, X. W. Zhu, Yanxuan Xu, et al.. (2025). MEDHEA: Multidimensional estimation of distribution based hyper-heuristic evolutionary algorithm for energy-efficient distributed assembly no-wait flow-shop scheduling problem. Expert Systems with Applications. 271. 126526–126526. 6 indexed citations
2.
Qian, Bin, et al.. (2024). Active learning based hyper-heuristic for the integration of production and Transportation: A third-party logistics perspective. Computers & Industrial Engineering. 194. 110381–110381. 5 indexed citations
3.
4.
Chen, Nannan, Zhichao Wang, Wei Yi, et al.. (2024). Influence of redesigned electrode system on interfacial microstructures and thermal behaviors in resistance micro-welding of stranded conductor to interconnector. Journal of Materials Processing Technology. 327. 118356–118356.
5.
6.
Jin, Huaiping, et al.. (2024). Soft Sensor Development Based on Unsupervised Dynamic Weighted Domain Adaptation for Quality Prediction of Batch Processes. IEEE Transactions on Instrumentation and Measurement. 73. 1–19. 5 indexed citations
7.
Jin, Huaiping, et al.. (2023). Pseudo label estimation based on label distribution optimization for industrial semi-supervised soft sensor. Measurement. 217. 113036–113036. 10 indexed citations
8.
Ding, Yuhan, Bo Zhang, Chen Shen, et al.. (2023). Joining mechanism of connection between Ag-plated Kovar interconnector and stranded Ag-plated Cu wire produced via parallel gap resistance welding. SHILAP Revista de lepidopterología. 19. 100209–100209. 1 indexed citations
9.
Jin, Huaiping, et al.. (2023). Soft sensor modeling for small data scenarios based on data enhancement and selective ensemble. Chemical Engineering Science. 279. 118958–118958. 9 indexed citations
10.
Zhang, Zi-Qi, et al.. (2023). A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation. Expert Systems with Applications. 234. 121050–121050. 65 indexed citations
11.
Huang, Hejiao, et al.. (2023). Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud. Expert Systems with Applications. 228. 120401–120401. 15 indexed citations
12.
Jin, Huaiping, et al.. (2023). Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams. Sensors. 23(3). 1520–1520. 7 indexed citations
13.
Hu, Rong, Xing Wu, Bin Qian, Jianlin Mao, & Huaiping Jin. (2022). Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem. Complexity. 2022(1). 3 indexed citations
14.
Gu, Chonglin, et al.. (2022). ET2FA: A Hybrid Heuristic Algorithm for Deadline-constrained Workflow Scheduling in Cloud. IEEE Transactions on Services Computing. 1–14. 32 indexed citations
15.
Tong, Lei, et al.. (2022). Superpixel Spectral–Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 18 indexed citations
16.
Hu, Rong, et al.. (2021). Learning Whale Optimization Algorithm for Open Vehicle Routing Problem with Loading Constraints. Discrete Dynamics in Nature and Society. 2021. 1–14. 5 indexed citations
17.
Hu, Rong, et al.. (2020). An Enhanced Differential Evolution Algorithm with Fast Evaluating Strategies for TWT-NFSP with SSTs and RTs. Complexity. 2020. 1–11. 1 indexed citations
18.
19.
Fan, Yu, Taofa Zhou, Feng Yuan, et al.. (2011). Geochronology of the Porphyry-like Type Iron Deposits in Ning-Wu Basin:Evidence from40Ar-39Ar Phlogopite Dating. Acta Geological Sinica. 85(5). 810–820. 7 indexed citations
20.
Qian, Bin, Ángel R. Ortíz, & David Baker. (2004). Improvement of comparative model accuracy by free-energy optimization along principal components of natural structural variation. Proceedings of the National Academy of Sciences. 101(43). 15346–15351. 51 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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